/* * The Python Imaging Library * $Id$ * * pilopen antialiasing support * * history: * 2002-03-09 fl Created (for PIL 1.1.3) * 2002-03-10 fl Added support for mode "F" * * Copyright (c) 1997-2002 by Secret Labs AB * * See the README file for information on usage and redistribution. */ #include "Imaging.h" #include /* resampling filters (from antialias.py) */ struct filter { float (*filter)(float x); float support; }; static inline float sinc_filter(float x) { if (x == 0.0) return 1.0; x = x * M_PI; return sin(x) / x; } static inline float antialias_filter(float x) { /* lanczos (truncated sinc) */ if (-3.0 <= x && x < 3.0) return sinc_filter(x) * sinc_filter(x/3); return 0.0; } static struct filter ANTIALIAS = { antialias_filter, 3.0 }; static inline float nearest_filter(float x) { if (-0.5 <= x && x < 0.5) return 1.0; return 0.0; } static struct filter NEAREST = { nearest_filter, 0.5 }; static inline float bilinear_filter(float x) { if (x < 0.0) x = -x; if (x < 1.0) return 1.0-x; return 0.0; } static struct filter BILINEAR = { bilinear_filter, 1.0 }; static inline float bicubic_filter(float x) { /* http://en.wikipedia.org/wiki/Bicubic_interpolation#Bicubic_convolution_algorithm */ #define a -0.5 if (x < 0.0) x = -x; if (x < 1.0) return ((a + 2.0) * x - (a + 3.0)) * x*x + 1; if (x < 2.0) return (((x - 5) * x + 8) * x - 4) * a; return 0.0; #undef a } static struct filter BICUBIC = { bicubic_filter, 2.0 }; static inline UINT8 clip8(float in) { int out = (int) in; if (out >= 255) return 255; if (out <= 0) return 0; return (UINT8) out; } /* This is work around bug in GCC prior 4.9 in 64 bit mode. GCC generates code with partial dependency which 3 times slower. See: http://stackoverflow.com/a/26588074/253146 */ #if defined(__x86_64__) && defined(__SSE__) && ! defined(__NO_INLINE__) && \ ! defined(__clang__) && defined(GCC_VERSION) && (GCC_VERSION < 40900) static float __attribute__((always_inline)) i2f(int v) { float x; __asm__("xorps %0, %0; cvtsi2ss %1, %0" : "=X"(x) : "r"(v) ); return x; } #else static float inline i2f(int v) { return (float) v; } #endif Imaging ImagingStretchHorizontal(Imaging imIn, int xsize, int filter) { ImagingSectionCookie cookie; Imaging imOut; struct filter *filterp; float support, scale, filterscale; float center, ww, ss, ss0, ss1, ss2, ss3; int xx, yy, x, kmax, xmin, xmax; int *xbounds; float *k, *kk; /* check filter */ switch (filter) { case IMAGING_TRANSFORM_NEAREST: filterp = &NEAREST; break; case IMAGING_TRANSFORM_ANTIALIAS: filterp = &ANTIALIAS; break; case IMAGING_TRANSFORM_BILINEAR: filterp = &BILINEAR; break; case IMAGING_TRANSFORM_BICUBIC: filterp = &BICUBIC; break; default: return (Imaging) ImagingError_ValueError( "unsupported resampling filter" ); } /* prepare for horizontal stretch */ filterscale = scale = (float) imIn->xsize / xsize; /* determine support size (length of resampling filter) */ support = filterp->support; if (filterscale < 1.0) { filterscale = 1.0; } support = support * filterscale; /* maximum number of coofs */ kmax = (int) ceil(support) * 2 + 1; /* coefficient buffer (with rounding safety margin) */ kk = malloc(xsize * kmax * sizeof(float)); if ( ! kk) return (Imaging) ImagingError_MemoryError(); xbounds = malloc(xsize * 2 * sizeof(int)); if ( ! xbounds) { free(kk); return (Imaging) ImagingError_MemoryError(); } for (xx = 0; xx < xsize; xx++) { k = &kk[xx * kmax]; center = (xx + 0.5) * scale; ww = 0.0; ss = 1.0 / filterscale; xmin = (int) floor(center - support); if (xmin < 0) xmin = 0; xmax = (int) ceil(center + support); if (xmax > imIn->xsize) xmax = imIn->xsize; for (x = xmin; x < xmax; x++) { float w = filterp->filter((x - center + 0.5) * ss) * ss; k[x - xmin] = w; ww += w; } for (x = 0; x < xmax - xmin; x++) { if (ww != 0.0) k[x] /= ww; } xbounds[xx * 2 + 0] = xmin; xbounds[xx * 2 + 1] = xmax; } imOut = ImagingNew(imIn->mode, xsize, imIn->ysize); if ( ! imOut) { free(kk); free(xbounds); return NULL; } ImagingSectionEnter(&cookie); /* horizontal stretch */ for (yy = 0; yy < imOut->ysize; yy++) { if (imIn->image8) { /* 8-bit grayscale */ for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss = 0.5; for (x = xmin; x < xmax; x++) ss += i2f(imIn->image8[yy][x]) * k[x - xmin]; imOut->image8[yy][xx] = clip8(ss); } } else switch(imIn->type) { case IMAGING_TYPE_UINT8: /* n-bit grayscale */ if (imIn->bands == 2) { for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss0 = ss1 = 0.5; for (x = xmin; x < xmax; x++) { ss0 += i2f((UINT8) imIn->image[yy][x*4 + 0]) * k[x - xmin]; ss1 += i2f((UINT8) imIn->image[yy][x*4 + 3]) * k[x - xmin]; } imOut->image[yy][xx*4 + 0] = clip8(ss0); imOut->image[yy][xx*4 + 3] = clip8(ss1); } } else if (imIn->bands == 3) { for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss0 = ss1 = ss2 = 0.5; for (x = xmin; x < xmax; x++) { ss0 += i2f((UINT8) imIn->image[yy][x*4 + 0]) * k[x - xmin]; ss1 += i2f((UINT8) imIn->image[yy][x*4 + 1]) * k[x - xmin]; ss2 += i2f((UINT8) imIn->image[yy][x*4 + 2]) * k[x - xmin]; } imOut->image[yy][xx*4 + 0] = clip8(ss0); imOut->image[yy][xx*4 + 1] = clip8(ss1); imOut->image[yy][xx*4 + 2] = clip8(ss2); } } else { for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss0 = ss1 = ss2 = ss3 = 0.5; for (x = xmin; x < xmax; x++) { ss0 += i2f((UINT8) imIn->image[yy][x*4 + 0]) * k[x - xmin]; ss1 += i2f((UINT8) imIn->image[yy][x*4 + 1]) * k[x - xmin]; ss2 += i2f((UINT8) imIn->image[yy][x*4 + 2]) * k[x - xmin]; ss3 += i2f((UINT8) imIn->image[yy][x*4 + 3]) * k[x - xmin]; } imOut->image[yy][xx*4 + 0] = clip8(ss0); imOut->image[yy][xx*4 + 1] = clip8(ss1); imOut->image[yy][xx*4 + 2] = clip8(ss2); imOut->image[yy][xx*4 + 3] = clip8(ss3); } } break; case IMAGING_TYPE_INT32: /* 32-bit integer */ for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss = 0.0; for (x = xmin; x < xmax; x++) ss += i2f(IMAGING_PIXEL_I(imIn, x, yy)) * k[x - xmin]; IMAGING_PIXEL_I(imOut, xx, yy) = (int) ss; } break; case IMAGING_TYPE_FLOAT32: /* 32-bit float */ for (xx = 0; xx < xsize; xx++) { xmin = xbounds[xx * 2 + 0]; xmax = xbounds[xx * 2 + 1]; k = &kk[xx * kmax]; ss = 0.0; for (x = xmin; x < xmax; x++) ss += IMAGING_PIXEL_F(imIn, x, yy) * k[x - xmin]; IMAGING_PIXEL_F(imOut, xx, yy) = ss; } break; default: ImagingSectionLeave(&cookie); ImagingDelete(imOut); free(kk); free(xbounds); return (Imaging) ImagingError_ModeError(); } } ImagingSectionLeave(&cookie); free(kk); free(xbounds); return imOut; } Imaging ImagingStretch(Imaging imIn, int xsize, int ysize, int filter) { Imaging imTemp1, imTemp2, imTemp3; Imaging imOut; if (strcmp(imIn->mode, "P") == 0 || strcmp(imIn->mode, "1") == 0) return (Imaging) ImagingError_ModeError(); /* two-pass resize, first pass */ imTemp1 = ImagingStretchHorizontal(imIn, xsize, filter); if ( ! imTemp1) return NULL; /* transpose image once */ imTemp2 = ImagingTransposeToNew(imTemp1); ImagingDelete(imTemp1); if ( ! imTemp2) return NULL; /* second pass */ imTemp3 = ImagingStretchHorizontal(imTemp2, ysize, filter); ImagingDelete(imTemp2); if ( ! imTemp3) return NULL; /* transpose result */ imOut = ImagingTransposeToNew(imTemp3); ImagingDelete(imTemp3); if ( ! imOut) return NULL; return imOut; }